Practical Observability Engineering With Relic
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Practical Observability Engineering with Relic
"Practical Observability Engineering with Relic" "Practical Observability Engineering with Relic" is the definitive guide for modern engineers, architects, and DevOps professionals seeking to master the art and science of observability in complex systems. Beginning with foundational principles—including the mathematical and theoretical underpinnings that distinguish observability from traditional monitoring—this book methodically explores the essential building blocks of telemetry: metrics, logs, traces, and events. Readers will gain not only a deep technical understanding of how to design for reliability, adaptive feedback, and robust instrumentation, but also practical insight into crafting effective Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets that drive operational excellence. Delving into the architecture and advanced features of Relic’s observability platform, the book covers every stage of the telemetry lifecycle—from scalable data ingestion and secure, multi-tenant storage, to real-time analytics, visualization, and machine learning integration. Comprehensive chapters address deployment strategies for diverse infrastructure, including Kubernetes, serverless, edge, IoT, and multi-cloud environments, providing actionable guidance on extending Relic with custom collectors, SDKs, APIs, and third-party integrations. The platform’s extensibility, performance optimization techniques, and compliance frameworks ensure that organizations of any size can adapt and grow their observability capabilities without compromising on security, governance, or developer experience. Steeped in real-world case studies and advanced patterns, "Practical Observability Engineering with Relic" empowers readers to operationalize reliability, automate incident management, and drive continuous improvement across their technology stack. Detailed explorations of incident triage, root cause analysis, capacity planning, and postmortem reviews demonstrate how data-driven observability transforms organizational resilience. The book concludes with insightful discussions on evolving trends, such as AI-powered telemetry and strategic roadmap planning, equipping professionals to stay ahead in the ever-evolving landscape of software reliability and cloud-native operations.
Practical Site Reliability Engineering
Author: Pethuru Raj Chelliah
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-11-30
Create, deploy, and manage applications at scale using SRE principles Key FeaturesBuild and run highly available, scalable, and secure softwareExplore abstract SRE in a simplified and streamlined wayEnhance the reliability of cloud environments through SRE enhancementsBook Description Site reliability engineering (SRE) is being touted as the most competent paradigm in establishing and ensuring next-generation high-quality software solutions. This book starts by introducing you to the SRE paradigm and covers the need for highly reliable IT platforms and infrastructures. As you make your way through the next set of chapters, you will learn to develop microservices using Spring Boot and make use of RESTful frameworks. You will also learn about GitHub for deployment, containerization, and Docker containers. Practical Site Reliability Engineering teaches you to set up and sustain containerized cloud environments, and also covers architectural and design patterns and reliability implementation techniques such as reactive programming, and languages such as Ballerina and Rust. In the concluding chapters, you will get well-versed with service mesh solutions such as Istio and Linkerd, and understand service resilience test practices, API gateways, and edge/fog computing. By the end of this book, you will have gained experience on working with SRE concepts and be able to deliver highly reliable apps and services. What you will learnUnderstand how to achieve your SRE goalsGrasp Docker-enabled containerization conceptsLeverage enterprise DevOps capabilities and Microservices architecture (MSA)Get to grips with the service mesh concept and frameworks such as Istio and LinkerdDiscover best practices for performance and resiliencyFollow software reliability prediction approaches and enable patternsUnderstand Kubernetes for container and cloud orchestrationExplore the end-to-end software engineering process for the containerized worldWho this book is for Practical Site Reliability Engineering helps software developers, IT professionals, DevOps engineers, performance specialists, and system engineers understand how the emerging domain of SRE comes handy in automating and accelerating the process of designing, developing, debugging, and deploying highly reliable applications and services.
Observability Engineering
Author: Charity Majors
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2022-05-06
Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experience of each and every user. This practical book explains the value of observable systems and shows you how to practice observability-driven development. Authors Charity Majors, Liz Fong-Jones, and George Miranda from Honeycomb explain what constitutes good observability, show you how to improve upon what youâ??re doing today, and provide practical dos and don'ts for migrating from legacy tooling, such as metrics monitoring and log management. Youâ??ll also learn the impact observability has on organizational culture (and vice versa). You'll explore: How the concept of observability applies to managing software systems The value of practicing observability when delivering and managing complex cloud native applications and systems The impact observability has across the entire software development lifecycle How and why different functional teams use observability with service-level objectives (SLOs) How to instrument your code to help future engineers understand the code you wrote today How to produce quality code for context-aware system debugging and maintenance How data-rich analytics can help you debug elusive issues quickly